Lead AI Strategy Expert Job at Salt

Senior AI & Data Strategy Expert

At Vantage Towers, we're on a mission to power Europe's sustainable digital tran...

Location

Portugal , Lisboa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

University degree in IT, computer science, engineering, business with IT focus, or equivalent experience
5+ years of experience in data architecture, data engineering, or related roles, incl. 2+ years in cloud environments (ideally GCP)
Strong knowledge of data architecture principles (data modeling, integration patterns, pipeline orchestration, storage design)
AI enablement (platform-side): hands-on exposure to supporting AI/ML workloads on the data platform (e.g., integrating data/pipelines for Vertex AI / BigQuery ML-style use cases, and setting up the data access + monitoring needed for reliable production use)
Interoperability experience: enabling cross-platform access to governed data via standard interfaces/protocols (e.g., MCP / A2A concepts)
Proficient programming skills (Python or Java) and advanced SQL
Practical experience with BI/reporting platforms, preferably Power BI
Experience designing or implementing scalable, cloud-native data solutions
Proven experience working across distributed and multinational teams
Fluent English (C1)

Job Responsibility

Design scalable, secure, future-proof data architectures that form the backbone of our VT Data Lake and analytics landscape
Define end-to-end solution designs for data ingestion, transformation, storage, and consumption across platforms (incl. GCP)
Build and optimize data pipelines and data models (ETL/ELT, orchestration, storage design) to support analytics and reporting at scale
Enable selected AI/ML use cases by defining governed data access patterns and curated datasets that provide trusted context
Develop self-service BI and reporting that translates complex datasets into actionable insights (e.g., Power BI)
Lead technical design reviews, assess architectural trade-offs, and ensure solutions follow best-practice patterns
Guide and challenge external vendors to deliver high-quality, maintainable, compliant data and analytics solutions
Establish data governance principles, standards, and documentation to ensure architectural consistency and data quality
Explore and pilot emerging technologies relevant to modern data architecture (including agentic AI enablement where useful)

What we offer

Diverse, multicultural setup based on our values – Accountability, Respect, Teamwork, and Trust – and the unique opportunity to shape the organisation
Attractive salary package
Meal Allowance: Delivered on Pluxee card - €10.20/day
Pension Plan
Full Health Insurance: For employees and co-payment for family members
Life Insurance
7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's
Parking Slot

Fulltime

Agentic AI Governance & Change Management Strategy Lead

We are seeking a senior Agentic AI Governance & Change Management Lead to bridge...

Location

India , Delhi

Salary:

Not provided

Randstad

Expiration Date

July 20, 2026

Requirements

12+ years in digital transformation, change management, or IT consulting, with at least 3+ years specifically focused on AI governance, AI ethics, or advanced analytics
Deep understanding of generative AI, large language models (LLMs), multi-agent orchestration, and the broader AI ecosystem
Proven experience leading client-facing workshops, shaping enterprise-grade solutions, and collaborating with external stakeholders in sectors such as CPG, Retail, Energy, or Manufacturing
Strong executive presence with the ability to translate complex AI concepts into business value and actionable KPIs for non-technical leadership
Expertise in organizational change management frameworks (e.g., ADKAR, Kotter) and experience adapting them for emerging technologies

Job Responsibility

Establish AI Governance Frameworks: Define and implement robust governance plans for multi-agent systems to ensure compliance with global regulations, data security standards, and enterprise policies
Drive Responsible AI: Champion ethics in AI by developing policies that mitigate bias, ensure transparency, and maintain accountability in autonomous decision-making
Manage Decision Ops: Oversee Decision Operations, creating audit trails and monitoring frameworks to evaluate how AI agents make, execute, and scale decisions within enterprise environments
Define Change Management Strategies: Design end-to-end change management plans tailored to the integration of autonomous agents into existing human workflows
Track & Optimize Adoption: Develop metrics to track agent-human adoption rates
Foster AI Literacy: Lead training and cultural initiatives to shift organizational mindset from using tools to collaborating with digital agents
Drive Enterprise Rollouts: Lead enterprise adoption rollout programs, including user enablement, tool training, and governance alignment
Design Training Programs: Design and deliver enterprise training programs to build AI literacy at scale
Embed AI Workflows: Define new operating models that embed AI into day-to-day workflows
Overcome Adoption Barriers: Identify adoption barriers and implement strategies to drive sustained usage and value realization

Fulltime

Ai business process sales and service strategy and enablement lead

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Multiple Locations

Salary:

130900.00 - 251900.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business Administration, Marketing, Finance, Engineering, or related field AND 5+ years experience in business consulting, sales, sales enablement, sales operations, information technology (IT), account management, business development, marketing, IT field sales, or a related field OR equivalent experience
6+ years experience in Management Consulting, Sales, Program Management, Learning & Development or Sales Enablement

Job Responsibility

Leverage business, industry, and technical knowledge to create a high-value sales learning path, enablement, and community for the sales organization
Develops and executes high-quality AI Business Process Sales and Technical skilling projects/programs across organizational boundaries, including content and live and on-demand delivery
Implements listening mechanisms to understand the voice of the field and considers the solution engineer’s needs when scoping learning outcomes for skilling projects
Ensure correct KPIs are in place to achieve the right outcomes for our customers and to measure business impact
Analyzes enablement outcome and customer feedback to drive continuous improvement and promote sustainable revenue and consumption growth
Closed Feedback Loop: Facilitation and delivery of closed feedback loop with key executive sponsors and cross-organizational partners including Engineering, Product Marketing, Worldwide Specialist Team Unit (WW STU)/Customer Success, Worldwide Learning, etc
Identifies, evaluates, and proposes new readiness projects based on unmet needs
Collaborates with internal teams (e.g., Finance, Marketing, Engineering, Field Sales) for holistic field readiness planning
Executive presence: advises senior leadership as a domain expert to inform planning decisions
Demonstrates influence through collaboration across multiple divisions

Fulltime

New

Vendor Digital Sales: Sales Strategy Lead

In the SME&C Global SMB Team, the Vendor Digital Sales team is at the leading ed...

Location

United States , Multiple Locations

Salary:

130900.00 - 272300.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business Administration, Marketing, Finance, Engineering, or related field AND 5+ years experience in business consulting, sales, sales operations, information technology (IT), account management, business development, marketing, IT field sales, or a related field OR equivalent experience
6+ years experience in in Near Term Strategy (2 years out), Management Consulting, Sales, or Finance
Master's Degree in Business Administration or related field AND 5+ years of marketing, strategy, sales, sales leadership, program management, project management, business planning, consulting, banking, finance, economics, and/or partner organization experience OR Bachelor's Degree in Business, Finance, Economics, Computer Science, or related field AND 7+ years of marketing, strategy, sales, sales leadership, program management, project management, business planning, consulting, finance, economics, and/or partner organization experience OR equivalent experience

Job Responsibility

Lead the design and campaign orchestration across Top Growth Accounts and Scale motions in collaboration with Program Managers
Analyze sales metrics and market data to identify areas for process optimization
Collaborate with leadership and stakeholders to align sales strategies with company objectives
Align with digital customer outreach, sales enablement and AI transformation initiatives
Monitor and report on the impact of enablement levers and programs to drive continuous improvement of sales campaigns
Lead and orchestrate with leaders in change management processes
Establishes and maintains key points of contact with internal teams
Manages and cultivates relationships with leaders of internal teams
Builds relationships with senior leadership executives
Acts as an advisor to senior leadership on a particular area of expertise and market awareness to inform strategic sales planning decisions

Fulltime

Ai Lead Application Architecture - Vice President

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15 years of relevant experience in leading Apps Development or systems design role
Extensive experience system analysis and in programming of software applications
Demonstrable exposure and practical experience with AI development
Knowledge of capital market is plus
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Bachelor’s degree/University degree or equivalent experience

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot: Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity: Employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries. AI-driven tools can also assist in predicting database load and recommending scaling solutions
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery: Integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software:Use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication. AI can also assist in translating technical designs into accessible formats for various audiences
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning: Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage junior engineers to adopt AI-driven development practices
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality:Continuously explore emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assess their applicability to our development ecosystem
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines: Utilize AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems: Implement AI-driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows
Contribute to the strategic planning and technical roadmap for our middleware platforms: Employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data-driven insights
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development: Utilize AI for data synthesis, predictive modeling for estimations, identification of potential IT risks, and accelerated model prototyping and validation

Fulltime

Forward Deployed Engineer, Google Cloud, AI Expert

We are seeking a Forward Deployed Engineer (FDE) with deep expertise in Google C...

Location

Canada , Montreal

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
5+ years of software development experience using Python, TypeScript, or comparable languages, with a track record of shipping production-grade code to external or internal customers
Hands-on experience architecting and deploying AI systems on Google Cloud Platform (GCP), including: Vertex AI — model deployment, fine-tuning workflows, evaluation, and platform-level observability
Gemini models — prompt engineering, structured outputs, function/tool calling, and multimodal use cases
BigQuery and Cloud Storage — as data and grounding sources for AI workloads
Cloud Run, Cloud Functions, and Pub/Sub — for deploying and orchestrating agentic services
Gemini Enterprise Agent Platform — designing, configuring, and deploying enterprise-grade agents, grounding on customer data sources, integrating tools and connectors
Demonstrated experience building agentic and AI-driven solutions in production, including: LLM application development — prompt engineering, agent development, and evaluation frameworks
RAG architectures — vector databases, chunking strategy, and retrieval evaluation
Data pipelines — structured and unstructured data ingestion to power enterprise-grade AI solutions

Job Responsibility

Embed within customer engineering teams and lead technical discovery sessions with business stakeholders, engineering leadership, and security to translate ambiguous business problems into clear AI architectures and delivery plans
Architect, code, and ship production-grade agentic AI solutions on Google Cloud — including multi-agent systems, MCP servers, sub-agents, skills, connectors, agentic wrappers, and safety guardrails — that move customers beyond pilots into measurable business value
Design and implement Retrieval-Augmented Generation (RAG) pipelines and grounding architectures, including chunking strategy, vector databases, and embedding optimization to prevent hallucinations and ensure response quality
Build the “connective tissue” between Google’s AI products and customer infrastructure, including APIs, legacy data silos, identity, and security perimeters
Implement multi-agent patterns such as ReAct, self-reflection, and hierarchical delegation using frameworks like Google’s Agent Development Kit (ADK) or LangGraph
Build high-performance evaluation pipelines and observability frameworks for agentic systems, with attention to accuracy, safety, latency, cost-per-request, and tokens-per-second
Debug agent logic and optimize tool selection in live, high-traffic environments, including tracing conversation and request IDs across microservices to resolve production failures
Co-build with customer engineering teams and act as a hands-on advocate for AI-assisted development, introducing and operationalizing AI coding tools to accelerate delivery and elevate engineering practices
Drive a deliberate handoff to the customer’s team, ensuring long-term ownership, documentation, and end-user adoption after the engagement concludes
Develop and maintain technical documentation, architecture decision records, and evaluation results across all assigned engagements

What we offer

Comprehensive insurance plan (Gold, Silver, or Bronze) with employer contribution up to 80%
Dialogue via Sun Life virtual healthcare services
Employee and Family Assistance Program
Complete mental health support program
$500 Personal Spending Account
Retirement plan with Valtech matching 100% of RRSP contributions up to 4% via DPSP
Flexible vacation policy
Personal Technology Reimbursement $30/month
Winter holiday closure
Flexible scheduling

Fulltime

Lead AI Engineer, Banking Technology - Senior Vice President

We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver en...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive software engineering experience with sustained hands‑on contributions.
3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures.
Proven success architecting and delivering multiple enterprise‑scale AI solutions into production.
Expert‑level proficiency in Python and/or Java (Spring Boot)
solid experience with JavaScript/TypeScript (Angular, Node.js).
Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems).
Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK).
Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity).
Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries.
Proven ability to design and expose robust, scalable APIs for AI services.

Job Responsibility

Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
Consult with end users to identify system function specifications and incorporate into overall system design
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Influence and negotiate with senior leaders and communicate with external parties
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases.

Fulltime

Senior Vice President - AI Lead Engineer - Banking Technology

Citi's Banking Technology organization is seeking an exceptional full stack hand...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Deep hands-on experience in engineering and executing scalable enterprise solutions
Expert-level proficiency in Python (e.g., FastAPI, Django, Flask, PySpark)
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Hands-on experience with relevant frameworks (e.g., Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N)
Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems
Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including their application within agentic systems
Demonstrated experience in designing and implementing robust APIs for AI services
Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews
Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects

Job Responsibility

Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions for critical banking use cases, ensuring high performance, reliability, and security
Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions
Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments to achieve continuous improvement and quick 'time to value'
Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement
Proactively explore, prototype (POC), and integrate the latest advancements in AI, particularly in agent-based systems, autonomous AI, and generative AI technologies
Provide hands-on technical leadership, guiding architectural decisions, and fostering collaboration with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate and scale AI solutions across Citi's products and services
Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders

What we offer

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Lead AI Strategy Expert

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